A Bibliometric Analysis of Leveraging Artificial Intelligence Technology for Global Pandemics

Lianghong Lin, Heng Weng, Enliang Yan, Choujun Zhan, Fu Lee Wang, Tianyong Hao

Abstract: Utilizing artificial intelligence technology in global pandemic, especially COVID-19 epidemic after 2020, has produced a wealth of studies. To investigate the role and impact of artificial intelligence in global pandemics, 4,708 relevant publications are retrieved from PubMed and subjected to a bibliometric analysis. To be specific, the analysis encompasses the number of articles, prolific journals, institutions, countries/regions, authors and their collaborative relations, as well as research hotspots. More importantly, the findings of this study, in addition to enriching the current literature review associated with the application of artificial intelligence in global pandemics, attempt to provide valuable lessons for the future face of pandemics.